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个人信息Personal Information
副教授
博士生导师
硕士生导师
主要任职：Associate Professor
性别：男
毕业院校：大连理工大学
学位：博士
所在单位：能源与动力学院
学科：动力机械及工程. 流体机械及工程
办公地点：大连理工大学西部校区能源与动力学院619
联系方式：htliu@dlut.edu.cn
电子邮箱：htliu@dlut.edu.cn
扫描关注
- [1]刘昶军, 曹士铎, 漆超, 王晓放, 姜孝谟, Sui, Yongfeng, 刘海涛.A parallel and multi-scale probabilistic temporal convolutional neural networks for forecasting t...[J],ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE,2024,138
- [2]丁家琦, 赵普, 朱香凝, 刘海涛, 王晓放, 谢蓉, Liu, Haitao.煤炭超临界水制氢反应器内多相流场智能滚动预测研究[J],CIESC Journal,2024,75(8):2886-2896
- [3]曹士铎, 刘昶军, 漆超, Xu, He, 姜孝谟, Zhang, Xuan, Yan, Binbin, 王晓放, 刘海涛.Transfer condition assessment of gas turbines via double multi-task Gaussian process[J],ADVANCED ENGINEERING INFORMATICS,2024,62
- [4]边超, 刘庆龙, 左思源, Zhang, Xuan, Yan, Binbin, 王晓放, 刘海涛.An efficient mixed constrained Bayesian optimization for handling known and unknown constraints[J],2024,62
- [5]边超, 刘庆龙, 邰骁, 王晓放, Hu, Rui, 刘海涛.Aerodynamic Optimization of a Low Pressure Exhaust Hood of Steam Turbine Using Bayesian Optimizat...[A],2024,155 MMS:615-634
- [6]赵普, 边超, 丁家琦, Xia, Linsheng, 王晓放, 刘海涛.Physics-informed sparse variational Gaussian process for predicting the wake flow field of underw...[J],2024,310
- [7]谢心喻, 赵普, 边超, 丁家琦, Xia, Linsheng, 王晓放, 刘海涛.A novel Bayesian deep learning method for fast wake field prediction of the DARPA SUBOFF[J],2024,150
- [8]郝祎琛, 丁家琦, 边超, 赵普, Xia, Linsheng, 王晓放, 刘海涛.Deep graph learning for the fast prediction of the wake field of DARPA SUBOFF[J],2024,309
- [9]Rui Hu, 边超, 邰骁, 王晓放, Qing-long Liu, 刘海涛.基于主动学习方法的汽轮机排气缸参数分析（英文）[J],风机技术,2024,65(03):83-88
- [10]Xiao-dong Qian, 邰骁, 边超, Qing-long Liu, Rui Hu, 刘海涛, 王晓放.带内部支撑结构的低压排汽缸气动性能分析（英文）[J],风机技术,2024,65(01):24-30
- [11]丁家琦, 赵普, 刘昶军, 王晓放, 谢蓉, 刘海涛, Liu, Haitao.From irregular to continuous: The deep Koopman model for time series forecasting of energy equipm...[J],Applied Energy,2024,364
- [12]丁家琦, 赵普, 谢心喻, 谢蓉, 王晓放, 刘海涛.煤炭超临界水制氢反应器多相流降阶建模及快速校正预测的研究[J],工程热物理学报,2024,44(9):2474-2485
- [13]谢心喻, 郝祎琛, 赵普, 王晓放, 谢蓉, 刘海涛.基于深度学习的全三维气固两相流时空耦合智能预测[J],Journal of Engineering Thermophysics,2024,45(2):446-452
- [14]Wang, Zhenkun, Zhang, Qingfu, Ong, Yew-Soon, Yao, Shunyu, 刘海涛, Luo, Jianping.Choose Appropriate Subproblems for Collaborative Modeling in Expensive Multiobjective Optimizatio...[J],IEEE Transactions on Cybernetics,53(1):483-496
- [15]Guo, Zhendong, 刘海涛, Ong, Yew-Soon, Qu, Xinghua, Zhang, Yuzhe, Zheng, Jianmin.Generative Multiform Bayesian Optimization[J],IEEE Transactions on Cybernetics,53(7):4347-4360
- [16]刘庆龙, 邰骁, 张少杰, 李鹏飞, 刘海涛, 杨金广, 王晓放.网格变形技术及其在能源装备数值仿真中的应用[J],燃气轮机技术,2024,36(04):1-10
- [17]赵普, 谢心喻, 刘佳丽, 左思源, 刘海涛, Wang, Shiqi, 王晓放, 谢蓉.Efficient Surrogate-Assisted Parameter Analysis for Coal-Supercritical Water Fluidized Bed Reacto...[J],MACHINES,2024,11(2)
- [18]陈旭东, 赵雨松, 刘昶军, Ding, Xudong, 王晓放, 刘海涛, Chen, Kexuan.Multi-Task Data Imputation for Time-Series Forecasting in Turbomachinery Health Prognostics[J],MACHINES,2024,11(1)
- [19]谢心喻, 赵普, 郝祎琛, 王晓放, 谢蓉, 刘海涛.Learning time-aware multi-phase flow fields in coal-supercritical water fluidized bed reactor wit...[J],Energy,263
- [20]Wang, Shiqi, 刘佳丽, 赵普, 谢蓉, 刘海涛, 王晓放.Numerical Analysis of The Temperature Characteristics of a Coal-Supercritical Water-Fluidized Bed...[J],MACHINES,11(5)